The feasibility of using natural language processing to extract clinical information from breast pathology reports

• Main Authors: Julliette M Buckley (Author), Suzanne B Coopey (Author), John Sharko (Author), Fernanda Polubriaginof (Author), Brian Drohan (Author), Ahmet K Belli (Author), Elizabeth M. H. Kim (Author), Judy E Garber (Author), Barbara L Smith (Author), Michele A Gadd (Author), Michelle C Specht (Author), Constance A Roche (Author), Thomas M Gudewicz (Author), Kevin S Hughes (Author)
• Format: Book
• Published: Elsevier, 2012-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Objective: The opportunity to integrate clinical decision support systems into clinical practice is limited due to the lack of structured, machine readable data in the current format of the electronic health record. Natural language processing has been designed to convert free text into machine read...